Categories in Wakayama
Alternative Fuel StationAuto BrokerAuto Dent Removal ServiceAuto Electrical ServiceAuto Machine ShopAuto paintingAuto Parts StoreAuto Restoration ServiceAuto Tune Up ServiceBattery StoreBody repairCar Accessories StoreCar Battery StoreCar Detailing ServiceCar Inspection StationCar & Light Vehicle DealershipsCar Parts WholesalerCar rentalCar repairCar Repair and MaintenanceCar WashDaihatsu dealerGas stationGas StationHonda DealerMazda DealerMitsubishi DealerMotorcycle DealerMotorcycle Parts StoreMotorcycle repairMotorcycle ShopNew car dealersNissan DealerOil Change ServiceParking lots and garagesSubaru DealerSuzuki DealerTire repair shopTire ShopToyota DealerUsed car dealersUsed Motorcycle DealerVehicle InspectionWheel Alignment ServiceWheel StoreAgricultural CooperativeAgricultural Machinery ManufacturerBeauty Product SupplierBeer DistributorBeverage Distributor
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Industries
Business Distribution by Industry in Wakayama
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Restaurants | 2,707 | 24 years |
| Shopping | 2,210 | 9 years |
| Religion | 1,689 | — |
| Construction of buildings | 1,576 | — |
| Corporate management | 1,503 | 27 years |
| Apartments | 1,434 | — |
| Hairdressers | 1,222 | — |
| Health and medical | 1,157 | — |
| Cafes | 928 | — |
| Public administration | 826 | 53 years |
| Education | 775 | 16 years |
| Pharmacies and drug stores | 741 | — |
| Public parks | 720 | — |
| Beauty salons | 689 | — |
| All food and beverage | 683 | — |
| Grocery stores and supermarkets | 678 | — |
Wakayama Facts
| Area | 163.1 km² |
| Population | 332,686 |
| Male Population | 156,451 (47.0%) |
| Female Population | 176,235 (53.0%) |
| Population change (1975 to 2020) | -21.2% |
| Population change (2000 to 2020) | -15.9% |
| Median Age | 47.4 years (Male: 45.3, Female: 49.3) |
| GDP per capita (PPP) | $45,864 (2022) |
| Area Codes | 73 |
| Neighborhoods | Minato, Nakanoshima, Nishihama, Tomodacho, 5 Chome, Kuroda |
| Local Time | |
| Timezone | Japan Standard Time |
| Lat & Lng | 34.23333, 135.16667 |
| Postal Codes | 640, 641, 642, 646, 649 |
Map of Wakayama
Interactive Map
Wakayama Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 422,299 | 415,992 | 395,441 | 357,213 | 332,686 | 305,617 | 281,503 |
| Population Density | 2,588.8 / km² | 2,550.1 / km² | 2,424.2 / km² | 2,189.8 / km² | 2,039.5 / km² | 1,873.5 / km² | 1,725.7 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridWakayama Population change from 2000 to 2020
Decrease of 15.9% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Wakayama | -21.2% | -20% | -15.9% |
| Wakayama Prefecture | — | — | — |
| Japan | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Wakayama Median Age
Median Age: 47.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Wakayama | 47.4 yrs | 49.3 yrs | 45.3 yrs |
| Wakayama Prefecture | 49.1 yrs | 51 yrs | 46.9 yrs |
| Japan | 45.1 yrs | 46.9 yrs | 43.5 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Wakayama Population Density
Population Density: 2,040 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Wakayama | 332,686 | 163.1 km² | 2,040 / km² |
| Wakayama Prefecture | 935,806 | 4,724.5 km² | 198 / km² |
| Japan | 122.9 million | 373,410.9 km² | 329 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Wakayama Historical and Projected Population
Estimated Population from 1500 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.
Neighborhoods in Wakayama
Percentage of businesses by neighborhood in Wakayama
Postal Codes
Percentage of businesses by Postal Codes in Wakayama
Price Distribution
Business distribution by price for Wakayama
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4
Wakayama Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $28,424 | $30,590 | $34,049 | $39,046 | $44,690 | $49,419 | $42,605 | $45,864 |
| Total GDP | $6.6B | $6.8B | $7B | $7.6B | $8.4B | $8.7B | $7.1B | $7.3B |
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
Wakayama CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Wakayama | 1,124,937 tn | 3.38 tn | 6,896.2 tons/km² |
| Wakayama Prefecture | 2,708,610 tn | 2.89 tn | 573.3 tons/km² |
| Japan | 541,995,101 tn | 4.41 tn | 1,451.5 tons/km² |
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Wakayama CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 1,124,937 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.38 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 6,896.2 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (7) |
| Earthquake | High (9.1) |
| Cyclone | High (10) |
| Landslide | High (8) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, International Bank for Reconstruction and Development - The World Bank, and United Nations Environment Programme Global Resource Information Database Geneva - UNEP/GRID-Geneva. 2005. Global Cyclone Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CZ353K.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 9/20/17 | 4:02 PM | 4.4 | 39.4 km | 44,930 m | 25km NNE of Tanabe, Japan | usgs.gov |
| 11/17/14 | 9:07 PM | 4.3 | 40.6 km | 14,540 m | 8km ESE of Akashi, Japan | usgs.gov |
| 11/12/14 | 1:13 AM | 4.6 | 40.3 km | 62,380 m | 5km NNW of Koya, Japan | usgs.gov |
| 8/25/14 | 6:42 PM | 4.6 | 25.5 km | 27,590 m | 2km E of Sumoto, Japan | usgs.gov |
| 12/30/13 | 6:15 AM | 4.1 | 25.6 km | 411,140 m | 6km S of Sumoto, Japan | usgs.gov |
| 9/2/13 | 5:22 PM | 4.4 | 29.7 km | 13,260 m | 20km SE of Kainan, Japan | usgs.gov |
| 7/17/13 | 3:07 AM | 4.4 | 46.9 km | 59,400 m | near the south coast of western Honshu, Japan | usgs.gov |
| 6/8/13 | 11:39 AM | 4.2 | 44.3 km | 14,000 m | 13km ESE of Gobo, Japan | usgs.gov |
| 6/8/13 | 7:17 AM | 4.3 | 30.1 km | 15,600 m | 16km NE of Gobo, Japan | usgs.gov |
| 4/12/13 | 8:33 PM | 5.8 | 34.6 km | 14,000 m | 6km WNW of Sumoto, Japan | usgs.gov |
Source: U.S. Geological Survey (USGS)
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.